MLOps Engineer: Data Intelligence & Production AI

Dyson

Dubai

On-site

AED 360,000 - 520,000

Full time

4 days ago
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Job summary

Dyson is expanding its Data Intelligence team in the UAE to industrialize AI across products. The MLOps Engineer will design, build, and maintain robust, production-grade ML pipelines and CI/CD for model deployment.

You will automate data curation to deployment, ensuring fast, observable, and reproducible pipelines. We seek 3+ years in DevOps/Data Engineering/MLOps, strong orchestration and containerization skills, and a degree in a technical field.

Qualifications

  • 3+ years in DevOps, Data Engineering, or MLOps roles.
  • Proven track record delivering at least one ML project from research to production.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.

Responsibilities

  • End-to-End Pipeline Orchestration: build and manage automated data prep, feature engineering, model training, and evaluation workflows.
  • Machine Learning CI/CD/CT: develop CI, CD, and CT systems for ML artifacts.
  • Infrastructure as Code: manage scalable ML infra using tools like MLFlow.
  • Model Monitoring & Observability: dashboards and alerts for drift, skew, latency, and throughput.
  • Registry Management: maintain model registry and feature store with versioning and lineage.
  • Security & Compliance: ensure data privacy and secure access controls across the ML lifecycle.

Skills

DevOps
Data Engineering
MLOps
ML for CI/CD
Python & Bash

Education

Bachelor's or Master's in CS/Engineering/Data Science

Tools

MLFlow
Docker
Kubernetes
Git
DVC

Job description

Dyson is expanding its Data Intelligence team in the UAE to industrialize AI across products. The MLOps Engineer will design, build, and maintain robust, production-grade ML pipelines and CI/CD for model deployment.

You will automate data curation to deployment, ensuring fast, observable, and reproducible pipelines. We seek 3+ years in DevOps/Data Engineering/MLOps, strong orchestration and containerization skills, and a degree in a technical field.

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